00:01
So for this problem, the first thing that we are asked to do is to compute the profit per unit for each one of the different possible cases.
00:09
Best case, or a base case, worst case, and best case.
00:14
So we'd have that the base case profit would be found simply by taking, as suggested, the most likely costs.
00:23
So we'd have that the procurement cost, the most likely one, would be 11.
00:28
The most likely labor cost is 24 the most likely transportation cost is three and let's see here we're told that the selling price of the product is $45 per unit so actually let's see here the base profit is going to be 45 minus all of those minus 11 plus 24 plus 3 so one second here i'm just going to calculate that out 45 minus 11 minus 24 minus 3 so we have a base case profit of 7 the worst case that would be simply going with the most expensive different possibilities so we'd have that that is going to be equal to let's see here so we know we're still selling for 45 dollars but the worst possible procurement cost is 12 worst possible labor cost is 25 and worst possible possible transport is 5 so we have that the worst case scenario is a profit of $3 per unit, and the best case scenario is going to be given by, let's see here, 45 minus the lowest procurement, which is 10, minus the lowest labor, which is 20, minus the lowest transportation, which is 3.
01:52
So that would be a best case profit of 12.
01:56
Then moving on to part two, constructing the simulation model.
02:02
I'll be using excel for your doing the random number generation here.
02:07
So you'd go to data, data analysis.
02:11
We want random number generation.
02:14
The number of variables, so the way that i'll do this is i'll generate, let's say, a thousand data points for each one of the different steps, so to speak.
02:25
So we'd be going with the discrete distribution, and we'd select the different possible values, as well as their corresponding probabilities.
02:33
I'll get the output in a new sheet.
02:36
So there we have our procurement costs.
02:39
Then we want to generate as a new column.
02:43
The labor costs...